2023 in Evaluation
Health And Wellness Research Study + Technology: A Turning Point
Palantir Factory has actually long been instrumental in increasing the research study findings of our health and life science partners, aiding accomplish unprecedented insights, enhance data gain access to, boost information functionality, and promote innovative visualization and evaluation of information sources– all while protecting the personal privacy and safety of the support information
In 2023, Shop supported over 50 peer-reviewed publications in esteemed journals, covering a diverse variety of topics– from hospital procedures, to oncological medications, to discovering methods. The year prior, our software program sustained a record variety of peer-reviewed publications, which we highlighted in a prior blog post
Our partners’ foundational investments in technical facilities during the peak of the COVID- 19 pandemic has actually made the remarkable quantity of publications feasible.
Public and commercial health care partners have proactively scaled their financial investments in information sharing and study software program beyond COVID action to build an extra detailed information structure for biomedical research study. For instance, the N 3 C Enclave — which houses the information of 21 5 M individuals from throughout almost 100 organizations– is being made use of everyday by hundreds of scientists across firms and organizations. Offered the intricacy of accessing, arranging, and taking advantage of ever-expanding biomedical data, the need for comparable research study resources continues to increase.
In this post, we take a closer consider some notable magazines from 2023 and analyze what lies ahead for software-backed research.
Arising Innovation and the Velocity of Scientific Research
The effect of new modern technologies on the clinical venture is accelerating research-based results at a previously difficult scale. Arising modern technologies and progressed software application are helping develop extra accurate, organized, and easily accessible information properties, which subsequently are permitting researchers to tackle progressively intricate clinical difficulties. Specifically, as a modular, interoperable, and flexible system, Factory has actually been made use of to support a diverse range of scientific researches with distinct research functions, consisting of AI-assisted therapeutics identification, real-world evidence generation, and more.
In 2023, the sector has actually additionally seen a rapid development in passion around making use of Artificial Intelligence (AI)– and particularly, generative AI and large language versions (LLM)– in the wellness and life science domain names. Together with various other core technological advancements (e.g., around information quality and use), the capacity for AI-enabled software application to accelerate scientific research is much more appealing than ever before. As a commercial leader in AI-enabled software application, Palantir has actually been at the leading edge of finding responsible, protected, and effective ways to use AI-enabled abilities to sustain our partners throughout markets in achieving their essential goals.
Over the previous year, Palantir software assisted drive vital parts of our partners’ study and we stand all set to proceed collaborating with our partners in federal government, sector, and civil society to tackle the most important difficulties in health and wellness and scientific research in advance. In the following section, we provide concrete examples of just how the power of software application can help breakthrough clinical study, highlighting some essential biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
In addition to a variety of essential cancer cells and COVID treatment researches, Palantir Factory additionally enabled new searchings for in the broader field of research methodology. Listed below, we highlight a sample of some of the most impactful peer-reviewed posts released in 2023 that used Palantir Factory to help drive their research study.
Identifying new efficient drug mixes for numerous myeloma
- Publication : Cancer cells Letters
- Authors : Peat, T.J., Gaikwad, S.M., Dubois, W., Gyabaah-Kessie, N., Zhang, S., Gorjifard, S., Phyo, Z., Andres, M., Hughitt, V.K., Simpson, R.M., Miller, M.A., Girvin, A.T., Taylor, A., Williams, D., D’Antonio, N., Zhang, Y., Rajagopalan, A., Flietner, E., Wilson, K., Zhang, X., Shinn, P., Klumpp-Thomas, C., McKnight, C., Itkin, Z., Chen, L., Kazandijian, D., Zhang, J., Michalowski, A.M., Simmons, J.K., Keats, J., Thomas, C.J., Mock, B.A.
- Recap : Numerous myeloma (MM) is regularly immune to medication treatment, requiring ongoing exploration to determine new, efficient healing combinations. In this study, researchers used high-throughput drug testing to recognize over 1900 compounds with task against at the very least 25 of the 47 MM cell lines evaluated. From these 1900 substances, 3 61 million combinations were assessed in silico, and sets of compounds with highly correlated activity across the 47 cell lines and various systems of action were selected for additional analysis. Specifically, 6 (6 drug combinations worked at 1 lowering over-expression of a crucial protein (MYC) that is frequently linked to the manufacturing of deadly cells and 2 increased expression of the p 16 healthy protein, which can assist the body subdue lump development. Additionally, 3 (3 recognized medicine combinations raised chances of survival and reduced the development of cancer cells, partly by decreasing task of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for recognize potentially useful unique medicine combinations for challenging to deal with multiple myeloma.
New rank-based protein classification technique to boost glioblastoma treatment
- Publication : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most common sort of malignant mind lumps, vary greatly, restricting the capability to examine the organic elements that drive whether glioblastomas will certainly reply to treatment. Nonetheless, information analysis of the proteome– the whole set of proteins that can be expressed by the growth– can 1 offer non-invasive techniques of classifying glioblastomas to assist educate therapy and 2 determine protein biomarkers connected with interventions to assess feedback to therapy. In this study, scientists established and checked an unique rank-based weighting approach (“RadWise”) for protein includes to aid ML algorithms focus on the the most relevant factors that indicate post-therapy end results. RadWise uses an extra reliable pathway to identify the healthy proteins and functions that can be key targets for therapy of these hostile, fatal tumors.
Determining liver cancer cells subtypes likely to respond to immunotherapy
- Magazine : Cell Records Medication
- Writers : Budhu, A., Pehrsson, E.C., He, A., Goyal, L., Kelley, R.K., Dang, H., Xie, C., Monge, C., Tandon, M., Ma, L., Revsine, M., Kuhlman, L., Zhang, K., Baiev, I., Lamm, R., Patel, K., Kleiner, D.E., Hewitt, S.M., Tran, B., Shetty, J., Wu, X., Zhao, Y., Shen, T.W., Choudhari, S., Kriga, Y., Ylaya, K., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is a rising root cause of cancer fatalities in the United States. This research study explored variation in individual outcomes for a kind of immunotherapy utilizing immune checkpoint inhibitors. Researchers noted that specific molecular subtypes of cancer, specified by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were linked to greater survival prices with immune checkpoint prevention therapy. Recognizing these molecular subtypes can aid medical professionals determine whether an individual’s one-of-a-kind cancer is most likely to reply to this kind of intervention, suggesting they can apply a lot more targeted use of immunotherapy and enhance likelihood of success.
Using formulas to EHR information to presume pregnancy timing for more precise maternal health and wellness study
- Publication : JAMIA, Women’s Health Scandal sheet
- Authors : Jones, S., Bradwell, K.R. *, Chan, L.E., McMurry, J.A., Olson-Chen, C., Tarleton, J., Wilkins, K.J., Qin, Q., Faherty, E.G., Lau, Y.K., Xie, C., Kao, Y.H., Liebman, M.N., Ljazouli, S. *, Mariona, F., Challa, A., Li, L., Ratcliffe, S.J., Haendel, M.A., Patel, R.C., Hill, E.L.
- Recap : There are indications that COVID- 19 can trigger maternity problems, and expectant individuals appear to be at greater risk for extra serious COVID- 19 infection. Analysis of health record (EHR) data can aid offer even more understanding, however as a result of data inconsistencies, it is typically hard to ascertain 1 maternity beginning and end days and 2 gestational age of the baby at birth. To assist, researchers adapted an existing algorithm for identifying gestational age and maternity size that counts on analysis codes and shipment dates. To enhance the precision of this formula, the scientists layered on their own data-driven algorithms to precisely infer pregnancy beginning, pregnancy end, and landmark timespan throughout a pregnancy’s progression while likewise dealing with EHR data variance. This method can be dependably used to make the foundational inference of pregnancy timing and can be applied to future pregnancy and maternity research study on subjects such as damaging pregnancy end results and maternal death.
An unique method for solving EHR data quality problems for scientific encounters
- Magazine : JAMIA
- Writers : Leese, P., Anand, A., Girvin, A. *, Manna, A. *, Patel, S., Yoo, Y.J., Wong, R., Haendel, M., Chute, C.G., Bennett, T., Hajagos, J., Pfaff, E., Moffitt, R.
- Recap : Professional encounter data can be an abundant resource for research, but it typically varies considerably across suppliers, centers, and establishments, making it tough to evenly evaluate. This variance is multiplied when multisite digital health and wellness record (EHR) data is networked together in a main database. In this study, researchers established a novel, generalizable method for resolving clinical encounter information for evaluation by combining associated experiences right into composite “macrovisits.” This methodology assists control and fix EHR encounter data concerns in a generalizable, repeatable means, permitting scientists to extra conveniently open the possibility of this abundant information for large studies.
Improving transparency in phenotyping for Long COVID study and beyond
- Publication : Journal of the American Medical Informatics Association
- Writers : Pfaff, E.R., Girvin, A.T. *, Crosskey, M., Gangireddy, S., Master, H., Wei, W.Q., Kerchberger, V.E., Weiner, M., Harris, P.A., Basford, M., Lunt, C., Chute, C.G., Moffitt, R.A., Haendel, M.; N 3 C and RECOVER Consortia
- Recap : Phenotyping, the process of reviewing and categorizing an organism’s attributes, can assist scientists better comprehend the distinctions between people and groups of people, and to recognize particular attributes that may be linked to particular diseases or conditions. Machine learning (ML) can help acquire phenotypes from data, yet these are challenging to share and reproduce due to their complexity. Scientists in this study created and educated an ML-based phenotype to identify clients very potential to have Lengthy COVID, a progressively immediate public wellness consideration, and showed applicability of this technique for other settings. This is a success tale of how transparent innovation and collaboration can make phenotyping algorithms extra easily accessible to a wide target market of scientists in informatics, decreasing duplicated job and supplying them with a tool to get to understandings faster, including for other diseases.
Navigating obstacles for multisite real world information (RWD) data sources
- Magazine : BMC Medical Research Study Methodology
- Authors : Sidky, H., Young, J.C., Girvin, A.T. *, Lee, E., Shao, Y.R., Hotaling, N., Michael, S., Wilkins, K.J., Setoguchi, S., Funk, M.J.; N 3 C Consortium
- Summary : Working with large range systematized EHR databases such as N 3 C for study needs specialized understanding and cautious evaluation of information quality and efficiency. This research study takes a look at the process of analyzing data top quality in preparation for research, focusing on medicine efficiency research studies. Researchers identified numerous approaches and best practices to better identify crucial research aspects including direct exposure to treatment, standard wellness comorbidities, and key outcomes of rate of interest. As large scale, streamlined real life data sources become much more common, this is a valuable advance in helping researchers better browse their special data difficulties while unlocking crucial applications for medication development.
What’s Next for Health Study at Palantir
While 2023 saw essential progress, the new year brings with it new opportunities, as well as an urgency to use the latest technical developments to one of the most vital health and wellness concerns facing individuals, areas, and the public at big. For instance, in 2023, the united state Federal government declared its commitment to combating systemic diseases such as cancer cells, and even launched a brand-new health and wellness agency, the Advanced Research Study Projects Company for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is pleased to be a sector companion in the innovative National AI Research Study Source (NAIRR) pilot program , created under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was routed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will certainly be working with its long-time companions at the National Institutes of Health And Wellness (NIH) and N 3 C to support research ahead of time safe, safe, and credible AI, in addition to the application of AI to difficulties in healthcare.
In 2024, we’re thrilled to deal with companions, new and old, on concerns of essential significance, applying our discoverings on information, devices, and study to assist enable significant improvements in health outcomes for all.
To read more regarding our proceeding work throughout health and wellness and life scientific researches, browse through https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies